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Provably Optimal Learning Algorithms for Assistance Games

Researchers have introduced the first provably efficient learning algorithms for repeated assistance games to optimize shared reward functions between human and AI agents.

Impact
35/100
Current rank score
16.58
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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